Triple

T20324093
Position Surface form Disambiguated ID Type / Status
Subject Dan Duryea E492286 entity
Predicate spouse P13 FINISHED
Object Helen Bryan
Helen Bryan was the wife of American character actor Dan Duryea, known primarily in relation to his life and career.
E1423410 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Helen Bryan | Statement: [Dan Duryea, spouse, Helen Bryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Bryan
Context triple: [Dan Duryea, spouse, Helen Bryan]
  • A. Helen Buckman
    Helen Buckman is a central character in the film "Parenthood," portrayed as an overworked single mother struggling to raise her two children while navigating complex family dynamics.
  • B. Helen Jellicoe
    Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
  • C. Helen Payne
    Helen Payne was the wife of Welsh poet and writer W. H. Davies, known for supporting him during his later life and literary career.
  • D. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • E. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Helen Bryan
Triple: [Dan Duryea, spouse, Helen Bryan]
Generated description
Helen Bryan was the wife of American character actor Dan Duryea, known primarily in relation to his life and career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Bryan
Target entity description: Helen Bryan was the wife of American character actor Dan Duryea, known primarily in relation to his life and career.
  • A. Helen Buckman
    Helen Buckman is a central character in the film "Parenthood," portrayed as an overworked single mother struggling to raise her two children while navigating complex family dynamics.
  • B. Helen Jellicoe
    Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
  • C. Helen Payne
    Helen Payne was the wife of Welsh poet and writer W. H. Davies, known for supporting him during his later life and literary career.
  • D. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • E. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612cc2c0819092d074fda6f0d995 completed May 16, 2026, 12:21 p.m.
NEDg Description generation batch_6a086264e3408190847a995f3538c70b completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0863b6dd84819089344a5ff28bf0cf completed May 16, 2026, 12:31 p.m.
Created at: April 16, 2026, 11:21 a.m.